%0 Journal Article
%T Multiple Target Recognition and Location Using Deformable Templates in Downward Looking Image<br>基于变形模板的多目标识别与定位
%A Niu Yi-feng
%A Shen Lin-cheng
%A <br>牛轶峰
%A 沈林成
%J 电子与信息学报
%D 2006
%I 
%X The typical target recognition and location is a key technique of the application system for Unmanned Aerial Vehicle (UAV), but there exists a certain difficulty in entirely automatic target recognition and location. A new method to recognize and locate multiple targets is presented in this paper. Through introducing the deformable template technique and the man-in-the-loop thought, this paper designs the multiple target recognition and location algorithm for the fused downward-looking image from UAV. The emphases of the method are laid on the construction of different deformable templates, the definition of corresponding energy functions, and the optimal search strategy. Results show that the technique of multiple target recognition and location using deformable templates is more effective and can accurately recognize and locate multiple typical targets.
%K Target recognition
%K Target location
%K Deformable template
%K Genetic algorithm
%K Man-in-the-loop
%K UAV<br>目标识别
%K 目标定位
%K 变形模板
%K 遗传算法
%K 人在回路
%K 无人机
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=1EEFDF5CBD4AF98E&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=8E4B4A74C5BF6530&eid=0342E221E01D5238&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=3&reference_num=12